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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "oesir" in publications use:'
type: software
license: MIT
title: 'oesir: Online Sliced Inverse Regression for Elliptical Model with Streaming
  Data'
version: 0.3.2
doi: 10.32614/CRAN.package.oesir
abstract: For high-dimensional streaming heavy-tailed elliptical data, traditional
  sliced inverse regression methods require full offline data and cannot adapt to
  incremental data arrival. This package implements Online Sliced Inverse Regression
  for Elliptical Model with Streaming Data (OE-SIR) algorithm with two recursive updating
  strategies, including offline batch SIR as benchmark, elliptical heavy-tailed data
  simulator, subspace evaluation metric and batch simulation tools for numerical experiments.
  Cai, Z., Li, R., & Zhu, L. (2020) <https://doi.org/10.48550/arXiv.2002.02795>.
authors:
- family-names: Yan
  given-names: Sirui
  email: yansr0601@163.com
- family-names: Guo
  given-names: Guangbao
  email: ggb11111111@163.com
repository: https://guangbaog.r-universe.dev
commit: 91b7013b3e1d9bc29936a928c27a073ca455a7bc
date-released: '2026-09-10'
contact:
- family-names: Guo
  given-names: Guangbao
  email: ggb11111111@163.com